#optix — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #optix, aggregated by home.social.
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Here's the current state of my roller coaster animation. Getting close to being done with this, but my to do list is still quite long! 😅
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Here's the current state of my roller coaster animation. Getting close to being done with this, but my to do list is still quite long! 😅
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Here's the current state of my roller coaster animation. Getting close to being done with this, but my to do list is still quite long! 😅
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Here's the current state of my roller coaster animation. Getting close to being done with this, but my to do list is still quite long! 😅
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Here's the current state of my roller coaster animation. Getting close to being done with this, but my to do list is still quite long! 😅
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Here's the current state of my roller coaster animation, with a mix of scenery and graybox, and at 1920x1080. Happy with my progress so far!
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Here's the current state of my roller coaster animation, with a mix of scenery and graybox, and at 1920x1080. Happy with my progress so far!
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Here's the current state of my roller coaster animation, with a mix of scenery and graybox, and at 1920x1080. Happy with my progress so far!
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Here's the current state of my roller coaster animation, with a mix of scenery and graybox, and at 1920x1080. Happy with my progress so far!
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Here's the current state of my roller coaster animation, with a mix of scenery and graybox, and at 1920x1080. Happy with my progress so far!
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Premiers tests de #blender sous #Fedora avec CG #AMD RX 7800 :
* Le viewport est super fluide, même en mode "material preview" et ça c'est super cool 😄
* Par contre les temps de rendu sont plus long, de l'ordre de 25% je dirais 😞La RX 7800 a pourtant un nombre de processeurs de flux supérieur à celui de ma précédente carte (RTX 3060).
#HIP est moins efficace que #OptiX
Je ferais une note de blog pour détailler ce qu'il faut installer sous Fedora pour avoir blender et HIP.
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#NVIDIA #GeForce #RTX5090 #Linux #GPU Compute Performance #Benchmarks
When taking geo mean across 60+ benchmarks of #CUDA / #OptiX / #OpenCL / #Vulkan Compute, the GeForce RTX 5090 was delivering 1.42x the performance of GeForce #RTX4090. On performance-per-Watt GeForce RTX 5090 tended to deliver similar power efficiency to the RTX 4080/4090 graphics cards.
GeForce RTX 5090 Founders Edition was running cooler than many of the other Founders Edition graphics cards tested.
https://www.phoronix.com/review/nvidia-geforce-rtx5090-linux -
#NVIDIA #GeForce #RTX5090 #Linux #GPU Compute Performance #Benchmarks
When taking geo mean across 60+ benchmarks of #CUDA / #OptiX / #OpenCL / #Vulkan Compute, the GeForce RTX 5090 was delivering 1.42x the performance of GeForce #RTX4090. On performance-per-Watt GeForce RTX 5090 tended to deliver similar power efficiency to the RTX 4080/4090 graphics cards.
GeForce RTX 5090 Founders Edition was running cooler than many of the other Founders Edition graphics cards tested.
https://www.phoronix.com/review/nvidia-geforce-rtx5090-linux -
#NVIDIA #GeForce #RTX5090 #Linux #GPU Compute Performance #Benchmarks
When taking geo mean across 60+ benchmarks of #CUDA / #OptiX / #OpenCL / #Vulkan Compute, the GeForce RTX 5090 was delivering 1.42x the performance of GeForce #RTX4090. On performance-per-Watt GeForce RTX 5090 tended to deliver similar power efficiency to the RTX 4080/4090 graphics cards.
GeForce RTX 5090 Founders Edition was running cooler than many of the other Founders Edition graphics cards tested.
https://www.phoronix.com/review/nvidia-geforce-rtx5090-linux -
#NVIDIA #GeForce #RTX5090 #Linux #GPU Compute Performance #Benchmarks
When taking geo mean across 60+ benchmarks of #CUDA / #OptiX / #OpenCL / #Vulkan Compute, the GeForce RTX 5090 was delivering 1.42x the performance of GeForce #RTX4090. On performance-per-Watt GeForce RTX 5090 tended to deliver similar power efficiency to the RTX 4080/4090 graphics cards.
GeForce RTX 5090 Founders Edition was running cooler than many of the other Founders Edition graphics cards tested.
https://www.phoronix.com/review/nvidia-geforce-rtx5090-linux -
#NVIDIA #GeForce #RTX5090 #Linux #GPU Compute Performance #Benchmarks
When taking geo mean across 60+ benchmarks of #CUDA / #OptiX / #OpenCL / #Vulkan Compute, the GeForce RTX 5090 was delivering 1.42x the performance of GeForce #RTX4090. On performance-per-Watt GeForce RTX 5090 tended to deliver similar power efficiency to the RTX 4080/4090 graphics cards.
GeForce RTX 5090 Founders Edition was running cooler than many of the other Founders Edition graphics cards tested.
https://www.phoronix.com/review/nvidia-geforce-rtx5090-linux -
Found a Bug, strange one, with #Optix, every now and then Optix, does things its own way, I will make a report tomorrow for this.
As you can see when I switch from #GPU to #CPU, the image changes drastically, and is inverted, a bug discovered by chance during my tests on the optics.#b3d #Blender3d #Blender -
Found a Bug, strange one, with #Optix, every now and then Optix, does things its own way, I will make a report tomorrow for this.
As you can see when I switch from #GPU to #CPU, the image changes drastically, and is inverted, a bug discovered by chance during my tests on the optics.#b3d #Blender3d #Blender -
Found a Bug, strange one, with #Optix, every now and then Optix, does things its own way, I will make a report tomorrow for this.
As you can see when I switch from #GPU to #CPU, the image changes drastically, and is inverted, a bug discovered by chance during my tests on the optics.#b3d #Blender3d #Blender -
Found a Bug, strange one, with #Optix, every now and then Optix, does things its own way, I will make a report tomorrow for this.
As you can see when I switch from #GPU to #CPU, the image changes drastically, and is inverted, a bug discovered by chance during my tests on the optics.#b3d #Blender3d #Blender -
Found a Bug, strange one, with #Optix, every now and then Optix, does things its own way, I will make a report tomorrow for this.
As you can see when I switch from #GPU to #CPU, the image changes drastically, and is inverted, a bug discovered by chance during my tests on the optics.#b3d #Blender3d #Blender -
So making the material from this tutorial I discovered that in #Blender 4.2 #Optix on #Linux seem not working fine, #Bevel and other two thing didn't worked well, while Cpu and Cuda are fine with GTX 3070 #b3d #Blender3D
https://youtu.be/hAWLqRpzK6I?feature=shared -
So making the material from this tutorial I discovered that in #Blender 4.2 #Optix on #Linux seem not working fine, #Bevel and other two thing didn't worked well, while Cpu and Cuda are fine with GTX 3070 #b3d #Blender3D
https://youtu.be/hAWLqRpzK6I?feature=shared -
So making the material from this tutorial I discovered that in #Blender 4.2 #Optix on #Linux seem not working fine, #Bevel and other two thing didn't worked well, while Cpu and Cuda are fine with GTX 3070 #b3d #Blender3D
https://youtu.be/hAWLqRpzK6I?feature=shared -
So making the material from this tutorial I discovered that in #Blender 4.2 #Optix on #Linux seem not working fine, #Bevel and other two thing didn't worked well, while Cpu and Cuda are fine with GTX 3070 #b3d #Blender3D
https://youtu.be/hAWLqRpzK6I?feature=shared -
So making the material from this tutorial I discovered that in #Blender 4.2 #Optix on #Linux seem not working fine, #Bevel and other two thing didn't worked well, while Cpu and Cuda are fine with GTX 3070 #b3d #Blender3D
https://youtu.be/hAWLqRpzK6I?feature=shared -
#JuliaLang has an amazingly user-friendly interface for #CUDA with CUDA.jl, but potentially could be used for interfacing #NVIDIA #OptiX too, including program writing. Here is a proof-of-concept of that https://github.com/cdsousa/OptiX.jl.
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#JuliaLang has an amazingly user-friendly interface for #CUDA with CUDA.jl, but potentially could be used for interfacing #NVIDIA #OptiX too, including program writing. Here is a proof-of-concept of that https://github.com/cdsousa/OptiX.jl.
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#JuliaLang has an amazingly user-friendly interface for #CUDA with CUDA.jl, but potentially could be used for interfacing #NVIDIA #OptiX too, including program writing. Here is a proof-of-concept of that https://github.com/cdsousa/OptiX.jl.
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#JuliaLang has an amazingly user-friendly interface for #CUDA with CUDA.jl, but potentially could be used for interfacing #NVIDIA #OptiX too, including program writing. Here is a proof-of-concept of that https://github.com/cdsousa/OptiX.jl.
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#JuliaLang has an amazingly user-friendly interface for #CUDA with CUDA.jl, but potentially could be used for interfacing #NVIDIA #OptiX too, including program writing. Here is a proof-of-concept of that https://github.com/cdsousa/OptiX.jl.